ATR Computational Neuroscience Laboratories, 2-2-2 Hikaridai, Keihanna Science City, Kyoto 619-0288, Japan.
Neuroimage. 2010 Jun;51(2):629-41. doi: 10.1016/j.neuroimage.2010.02.002. Epub 2010 Feb 10.
We propose a generalized method to estimate waveforms common across trials from electroencephalographic (EEG) data. From single/multi-channel EEGs, the proposed method estimates the number of waveforms common across trials, their delays in individual trials, and all of the waveforms. After verifying the performance of this method by a number of simulation tests with artificial EEGs, we apply it to EEGs during a Go/NoGo task. This method can be used in general situations where the number and the delays of EEG waveforms common across trials are unknown.
我们提出了一种从脑电图（EEG）数据中估计跨试验共有波形的广义方法。从单/多通道 EEG 中，该方法估计了跨试验共有波形的数量、它们在个体试验中的延迟以及所有的波形。通过对具有人工 EEG 的多项模拟测试验证了该方法的性能后，我们将其应用于 Go/NoGo 任务期间的 EEG。该方法可用于跨试验共有 EEG 波形的数量和延迟未知的一般情况。
